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Multiple Exposure Fusion for High Dynamic Range Image Acquisition

机译:多重曝光融合,实现高动态范围图像采集

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A multiple exposure fusion to enhance the dynamic range of an image is proposed. The construction of high dynamic range images (HDRIs) is performed by combining multiple images taken with different exposures and estimating the irradiance value for each pixel. This is a common process for HDRI acquisition. During this process, displacements of the images caused by object movements often yield motion blur and ghosting artifacts. To address the problem, this paper presents an efficient and accurate multiple exposure fusion technique for the HDRI acquisition. Our method simultaneously estimates displacements and occlusion and saturation regions by using maximum a posteriori estimation and constructs motion-blur-free HDRIs. We also propose a new weighting scheme for the multiple image fusion. We demonstrate that our HDRI acquisition algorithm is accurate, even for images with large motion.
机译:提出了多重曝光融合以增强图像的动态范围。高动态范围图像(HDRI)的构建是通过组合以不同曝光拍摄的多个图像并估计每个像素的辐照度值来完成的。这是HDRI采集的常见过程。在此过程中,由对象移动引起的图像位移通常会产生运动模糊和重影伪影。为了解决该问题,本文提出了一种用于HDRI采集的有效且准确的多重曝光融合技术。我们的方法通过使用最大后验估计同时估计位移,遮挡和饱和区域,并构造无运动模糊的HDRI。我们还为多图像融合提出了一种新的加权方案。我们证明,即使对于运动较大的图像,我们的HDRI采集算法也是准确的。

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